Automatic classification in lingusitics.

Expert InsightsPublished 1966

Prepared for publication in [The] [Statistician], this paper emphasizes the difference between methods appropriate for the classification of words and the usual forms of numerical taxonomy. Because words often have more than one meaning, linguistic classifications are overlapping. Techniques that yield a classificatory hierarchy are rankly inappropriate. The basic problem is not whether the right data have been chosen but how to handle the very large samples necessary. Randomization and construction of similarity matrices are likely to be unproductive. Independent searches for separate classes seem to work best. A nonmatrix technique employing a cohesion function and search for class profiles is outlined, which usually requires less than ten iterations for termination. 15 pp. Ref.

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  • Copyright: RAND Corporation
  • Availability: Web Only
  • Year: 1966
  • Pages: 22
  • Document Number: P-3500

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Automatic classification in lingusitics. Santa Monica, CA: RAND Corporation, 1966. https://www.rand.org/pubs/papers/P3500.html.
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